Nonstationary Random Fields

Nonstationary Random Fields is a type of spatial random field in which the statistical properties, such as mean, variance, and covariance, vary across space, thereby violating the stationarity assumption that these properties remain constant under spatial translation.

73

Publications

3.4K

Citations

161

Authors

92

Institutions

Publications per year

2017–2026

12

Variants

Inhomogeneous Random Fields

Authors

161

  1. ML
    Michael L. Stein

    University of Chicago, United States

    4 publications · 146 citations

    4

    h-index

  2. OP
    Olivier Perrin

    Chalmers University of Technology, Sweden

    2 publications · 40 citations

    2

    h-index

  3. CM
    Chunsheng Ma

    Wichita State University, United States

    2 publications · 62 citations

    2

    h-index

  4. LP
    Luísa Pereira

    University of Beira Interior, Portugal

    2 publications · 34 citations

    2

    h-index

  5. SL
    Suched Likitlersuang

    Chulalongkorn University, Thailand

    2 publications · 67 citations

    2

    h-index

1–5 of 161

Venues

  1. Journal of Computational and Graphical Statistics

    JCGS · 3 publications · 57 citations

    3

    h-index

  2. Water Resources Research

    3 publications · 111 citations

    3

    h-index

  3. 2

    h-index

  4. Journal of Statistical Planning and Inference

    2 publications · 39 citations

    2

    h-index

  5. Statistics & Probability Letters

    2 publications · 73 citations

    2

    h-index

1–5